Update README.md

Author: pgleeson

README.md

@@ -11,8 +11,8 @@ Neuroinformatics resources are becoming an essential part of computational inves
 
 This tutorial will give an overview of the range of neuroinformatics resources currently available to the community. The [first part](https://github.com/NeuralEnsemble/NeuroinformaticsTutorial/tree/master/Part%201%20-%20Resources%20for%20computational%20modellers) will give a brief introduction to a number of these under the headings; **Experimental datasets; Structured data from literature; Analysis tools; Simulation environments; Model sharing; Computing infrastructure; Open source initiatives**. 
 
-The [second part](https://github.com/NeuralEnsemble/NeuroinformaticsTutorial/tree/master/Exercises) of the tutorial will involve hands on exercises where multiple resource will be accessed, data transformed and analysed and new models executed. Note that this tutorial will focus on neuroinformatics resources for cell and network modelling, and not cover the wide range of neuroimaging or genetics databases. 
+The [second part](https://github.com/NeuralEnsemble/NeuroinformaticsTutorial/tree/master/Exercises) of the tutorial will involve hands on exercises where multiple resource will be accessed, data transformed and analysed and new models executed. 
 
-### Note
+This was initially developed by [Padraig Gleeson](https://github.com/pgleeson) and [Andrew Davison](https://github.com/apdavison) as part of a tutorial at [CNS 2017 in Antwerp](http://www.cnsorg.org/cns-2017-tutorials). It is intended to be developed as an open resource for the wider community. 
 
-*This was initially developed by [Padraig Gleeson](https://github.com/pgleeson) and [Andrew Davison](https://github.com/apdavison) as part of a tutorial at [CNS 2017 in Antwerp](http://www.cnsorg.org/cns-2017-tutorials). It is intended to be developed as an open resource for the wider community. In its initial form it will focus on neuroinformatics resources which may be of use for those **creating and analysing computational models of neuronal systems**, i.e. accessing the raw experimental data to constrain models, tools for model creation and analysis, databases of models, etc. Neuroinformatics of course has a much wider scope (databases of gene expression in neuronal systems, neuroimaging, etc.) and this tutorial can potentially be expanded in future.*
+Currently this tutorial focuses on neuroinformatics resources which may be of use for those _**creating and analysing computational models of neuronal systems**_. Neuroinformatics has a much wider scope (databases of gene expression in neuronal systems, neuroimaging, etc.) and this tutorial can potentially be expanded in future.